CN102211547A - Driving visual blind area detection system and method - Google Patents
Driving visual blind area detection system and method Download PDFInfo
- Publication number
- CN102211547A CN102211547A CN2010101377276A CN201010137727A CN102211547A CN 102211547 A CN102211547 A CN 102211547A CN 2010101377276 A CN2010101377276 A CN 2010101377276A CN 201010137727 A CN201010137727 A CN 201010137727A CN 102211547 A CN102211547 A CN 102211547A
- Authority
- CN
- China
- Prior art keywords
- image
- blind area
- vehicle
- detecting
- scene image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Closed-Circuit Television Systems (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a driving visual blind area detection system and a driving visual blind area detection method. The system comprises a rearview mirror for a vehicle, a microprocessor and an instrument panel for a vehicle, wherein the rearview mirror for the vehicle comprises an image shooting unit used for continuously shooting scene images of driving visual blind areas on two sides and rear of the vehicle; the instrument panel for the vehicle comprises a caution light and a sound generating device; the microprocessor comprises an image detection module used for detecting and distinguishing the shot scene images and judging whether the scene images contain moving object images according to an object detection method and a moving state dynamic detection method, and a caution module used for generating a caution signal when the scene images contain the moving object images, and controlling the caution light to flash and the sound generating device to transmit sound information according to the caution signal. By the invention, traffic conditions of the visual blind areas in the running process of the vehicle can be detected in real time, and caution information is generated to inform a driver so as to reduce traffic accidents.
Description
Technical field
The present invention relates to a kind of driving road-condition detecting system and method, particularly about a kind of driving vision blind area detecting system and method.
Background technology
Though the driving situation that the tradition vehicle rear-view mirror can provide motorist to watch the vehicle both sides, steerman in the middle of driving, can produce part vision blind area because of the visual field of road speed, vehicle rearview mirror angle and human visual.Many pedestrians or other passerby be not because understand the vision blind area of driving, often thinks that motorist should see oneself, thereby swarm into the vision blind area of vehicle.If this moment, steerman itself was not noted the traffic of its vision blind area, both sides yet, just traffic accident takes place easily.Traditional in addition vehicle rear-view mirror can't initiatively find situation and notify steerman, when steerman is not careful road conditions in the vehicle rear-view mirror, promptly can't produce any warning function.
Summary of the invention
In view of above content, be necessary to provide a kind of driving vision blind area detecting system and method, it can detect the traffic of the position, vision blind area that vehicle produces in real time in driving process, and produces information warning notice steerman, and then reduces the generation of traffic accident.
Described driving vision blind area detecting system comprises vehicle rear-view mirror, microprocessor and auto meter dish, and it all is installed in the vehicle and by the vehicle interior electric wiring and is connected.Described vehicle rear-view mirror comprises the image capturing unit, and this image capturing unit is used for the lasting scene image of taking the driving vision blind area at vehicle both sides and rear.Described auto meter dish comprises Warning light and sound-producing device.Described microprocessor comprises: the image detecting module, be used for detecting differentiation at the scene image that is absorbed, and judge whether comprise the mobile object image in the scene image according to the image detecting result according to object detecting method and mobile status dynamic detection method; Alarm module is used for when the scene image comprises the mobile object image producing alarm signal, and is careful the traffic of driving position, vision blind area according to alarm signal control Warning light flicker and the sound-producing device information reminding steerman of sounding.
Described driving vision blind area method for detecting comes the detecting vehicle traffic of vision blind area when driving by vehicle rear-view mirror and auto meter dish.The method comprising the steps of: continue the dynamic scene image of the position, driving vision blind area at shooting vehicle both sides and rear by the image capturing unit that is installed on the vehicle rear-view mirror; Detect differentiation according to object detecting method and mobile status dynamic detection method at the scene image that is absorbed; Judge whether include the mobile object image in the scene image according to the image detecting result; When including the mobile object image in the scene image, produce alarm signal; Warning light flicker and the sound-producing device information of sounding according to alarm signal control auto meter dish remind steerman to be careful the traffic of driving vision blind area.
Compared to prior art, driving vision blind area detecting system of the present invention and method can initiatively be reminded the traffic of the position, vision blind area that steerman produces by caution cresset and information warning in driving process, can avoid steerman to cause traffic accident, and then reduce the generation of traffic accident because of the reflected image of not being careful back mirror.
Description of drawings
Fig. 1 is the drive a vehicle Organization Chart of vision blind area detecting system preferred embodiment of the present invention.
Fig. 2 is the scheme drawing that the vehicle rear-view mirror of image capturing unit is installed.
Fig. 3 is the scheme drawing that traditional vehicle rear-view mirror produces the vision blind area.
Fig. 4 is the scheme drawing of vehicle vision blind area when turning.
Fig. 5 is the drive a vehicle diagram of circuit of vision blind area method for detecting preferred embodiment of the present invention.
The main element nomenclature
Vehicle rear-view mirror 1
Sound-producing device 32
The specific embodiment
As shown in Figure 1, be the drive a vehicle Organization Chart of vision blind area detecting system preferred embodiment of the present invention.In the present embodiment, this driving vision blind area detecting system comprises vehicle rear-view mirror 1, microprocessor 2 and auto meter dish 3 at least, and these elements all are installed in the vehicle, and are connected by the vehicle interior electric wiring.Described vehicle is including but not limited to motor bike, small passenger car, truck and container car etc.In the present embodiment, described driving vision blind area is meant that steerman is in the middle of the steering vehicle process, because the factors such as visual field of road speed, vehicle rear-view mirror and human visual, the image that vehicle rear-view mirror 1 is reflected may produce the invisible area division of part, and concrete situation will be described in detail at following Fig. 3 and Fig. 4.
Described vehicle rear-view mirror 1 is equipped with image capturing unit 10 (with reference to shown in Figure 2), and this image capturing unit 10 can be digital camera, also can be any desirable image input media that gets digitized video.Described image capturing unit 10 is used for the lasting dynamic scene image of taking the position, driving vision blind area at vehicle both sides and rear, and the scene image that is absorbed is sent to microprocessor 2 carries out image identification, whether confirm has mobile object in the scene of driving vision blind area, include but not limited to mobile objects such as pedestrian, vehicle and the vehicle.
Described microprocessor 2 is a kind of programmable chip, in be solidified with driving vision blind area detecting instruction module, it comprises image detecting module 21 and alarm module 22.Described auto meter dish 3 is equipped with Warning light 31 and sound-producing device 32, for example loud speaker etc.In the present embodiment, when driving position, vision blind area occurs influencing conditions associated (for example pedestrian or the vehicle) of safety traffic, Warning light 31 on the auto meter dish 3 begins to light, and sound-producing device 32 information of sounding remind steerman to be careful the traffic of driving vision blind area simultaneously.In other embodiment, because present commercially available new vehicle built-in automobile-used telltale (not illustrating among Fig. 1) how, it generally is installed on the auto meter dish 3, for example additional devices such as auto navigation, automobile-used TV, DVD player.When Warning light 31 lighted, image capturing unit 10 is directly switch into the scene image that is absorbed play the displayed scene image frame on the automobile-used telltale.Therefore, the scene image picture that steerman shows on can automobile-used telltale is directly learnt the situation of driving position, vision blind area, thus the understanding vehicle of intuition each visual angle details in driving process more.
Described image detecting module 21 is used for detecting differentiation according to object detecting method and mobile status dynamic detection method at the scene image that is absorbed, and judge according to the image detecting result whether the mobile object image is arranged in the scene image, to confirm in the driving vision blind area whether mobile objects such as pedestrian or vehicle being arranged.Image detecting module 21 identifies whether comprise object image in the scene image by the object detecting method, and detects the movement of objects state by the mobile status dynamic detection method.If include object image in the scene image, then there are mobile objects such as pedestrian or vehicle in the explanation driving vision blind area.In the present embodiment, described object detecting method comprises human-like method for detecting and vehicle detection method, and these two kinds of image recognition methods are all industry general-duty image recognition technology, do not set forth at this.Described mobile status dynamic detection method can dynamically recording the eigenwert of scene image of each driving vision blind area, and the front and back scene image is proofreaied and correct comparison according to this eigenwert, find out conforming to partly in current scene image and the previous scenario image according to comparative result, the line position of going forward side by side alignment is proofreaied and correct, and partly detects the movement of objects state at relatively conforming to again.
Described alarm module 22 is used for detecting driving position, vision blind area when occurring influencing conditions associated (for example pedestrian or the vehicle) of safety traffic when image detecting module 21, produce alarm signal, and remind steerman to be careful the traffic of driving position, vision blind area according to these alarm signal control Warning light 31 flickers and control sound-producing device 32 information of sounding.Steerman can be learnt that there is relevant situation vision blind area, vehicle both sides and slows down via this acoustic information and go slowly, also can adjust body angle a little and watch the visual angle of other position or adopt mode such as ring loudspeaker to remind passerby, make passerby have the sufficient time to leave the hazardous location.Therefore, can avoid steerman to cause traffic accident, and then reduce the generation of traffic accident because of the reflected image of not being careful vehicle rear-view mirror.
As shown in Figure 3, be that traditional vehicle rear-view mirror 1 produces the scheme drawing of vision blind area.For the safety of strengthening driving a vehicle, one group of vehicle rear-view mirror 1 all can be installed in the left and right vehicle wheel both sides.Steerman is in the middle of the steering vehicle process, can watch the road conditions that are positioned at vehicle's surroundings by vehicle rear-view mirror 1, especially when driving the human desires lane change or turning, more necessaryly be careful the image situation that reflects the both sides, rear in the back mirror, confirm the position and the distance of the driving of rear and both sides, to avoid taking place side swipe.But because the factors such as visual field of speed, vehicle mirrors and human visual, the image that vehicle rear-view mirror 1 is reflected will produce part vision blind area, a-quadrant for example shown in Figure 3 and B zone.
As shown in Figure 4, be the scheme drawing of vehicle vision blind area when turning.Usually, take turns in vehicle will produce when turning and differ from d1 and foreign steamer difference d2, and along with the lengthening of vehicle body in it foreign steamer difference also will become big.Wheel difference d1 is meant that the trailing wheel of vehicle interior side can be offset to the inside in described, and foreign steamer difference d2 is meant that the front-wheel of vehicle outside can be offset laterally.For example, Combination Truck Tractor-trailer is linked formation by a Tractor Truck and a semi-trailer by king's tip (King-pin), therefore the interior foreign steamer gap of Combination Truck Tractor-trailer is big especially, its scope even can hold a car, wheel location is a driving vision blind area scope behind the semi-trailer when turning, C zone for example shown in Figure 4 and D zone.
As shown in Figure 5, be the drive a vehicle diagram of circuit of vision blind area method for detecting preferred embodiment of the present invention.Step S51, image capturing unit 10 continues the dynamic scene image of the position, driving vision blind area at shooting vehicle both sides and rear, and the scene image that is absorbed is sent to microprocessor 2 carries out image identification, whether confirm has mobile object in the scene of driving vision blind area, include but not limited to mobile objects such as pedestrian, vehicle and the vehicle.
Step S52, image detecting module 21 is detected differentiation according to object detecting method and mobile status dynamic detection method at the scene image that is absorbed.In the present embodiment, described object detecting method comprises human-like method for detecting and vehicle detection method, and these two kinds of image recognition methods are all industry general-duty image recognition technology, do not set forth at this.Described mobile status dynamic detection method can dynamically recording the eigenwert of scene image of each driving vision blind area, and the front and back scene image is proofreaied and correct comparison according to this eigenwert, find out conforming to partly in current scene image and the previous scenario image according to comparative result, the line position of going forward side by side alignment is proofreaied and correct, and partly detects the movement of objects state at relatively conforming to again.
Step S53, image detecting module 21 judges according to the image detecting result whether the mobile object image is arranged in the scene image, to confirm in the driving vision blind area whether mobile objects such as pedestrian or vehicle being arranged.In the present embodiment, image detecting module 21 identifies whether comprise object image in the scene image by the object detecting method, and detects the movement of objects state by the mobile status dynamic detection method.
Step S54 if comprise the mobile object image in the scene image, illustrate that image detecting module 21 detects driving position, vision blind area when occurring influencing the mobile object (for example pedestrian or vehicle) of safety traffic, 22 generations of alarm module alarm signal.If the mobile object image do not occur in the scene image, flow process turns to step S51 to continue the dynamic scene image of the position, driving vision blind area at shooting vehicle both sides and rear.
Step S55, alarm module 22 reminds steerman to be careful the traffic of driving position, vision blind area according to these alarm signal control Warning light 31 flickers and control sound-producing device 32 information of sounding.Steerman can be learnt that there is relevant situation vision blind area, vehicle both sides and slows down via acoustic information and go slowly, also can adjust body angle a little and watch the visual angle of other position or adopt mode such as ring loudspeaker to remind passerby, make passerby have the sufficient time to leave the hazardous location.Therefore, can avoid steerman to cause traffic accident, reduce the generation of traffic accident because of the reflected image of not being careful vehicle rear-view mirror.
In addition, because present commercially available new vehicle built-in automobile-used telltale (not illustrating among Fig. 1) how, it generally is installed on the auto meter dish 3, for example additional devices such as auto navigation, automobile-used TV, DVD player.Therefore, driving vision blind area detecting system of the present invention and method except can by Warning light 31 flicker and sound-producing device 32 information of sounding remind steerman be careful driving vision blind area, also the image capturing unit 10 of vehicle rear-view mirror 1 and automobile-used telltale on the auto meter dish 3 can be connected.When the Warning light on the auto meter dish 3 31 lights, steerman also can switch to the scene image that image capturing unit 10 is taken the photograph automobile-used telltale and play, directly learn the situation of driving position, vision blind area by automobile-used telltale displayed scene image frame, so steerman understanding vehicle each visual angle details in driving process of intuition more.
Claims (10)
1. a driving vision blind area detecting system comprises vehicle rear-view mirror, microprocessor and auto meter dish, and it all is installed in the vehicle and by the vehicle interior electric wiring and is connected, and it is characterized in that:
Described vehicle rear-view mirror comprises the image capturing unit, and this image capturing unit is used for continuing to take the scene image of vehicle both sides and driving vision blind area, rear;
Described auto meter dish comprises Warning light and sound-producing device;
Described microprocessor comprises:
The image detecting module is used for detecting differentiation according to object detecting method and mobile status dynamic detection method at the scene image that is absorbed, and judges whether comprise the mobile object image in the scene image according to the image detecting result;
Alarm module is used for when the scene image comprises the mobile object image producing alarm signal, and is careful the traffic of driving position, vision blind area according to alarm signal control Warning light flicker and the control sound-producing device information reminding steerman of sounding.
2. driving vision as claimed in claim 1 blind area detecting system is characterized in that described object detecting method comprises human-like method for detecting and vehicle detection method.
3. driving vision as claimed in claim 1 blind area detecting system is characterized in that described mobile status dynamic detection method comprises:
The eigenwert of each scene image of dynamically recording;
According to this eigenwert the front and back scene image is proofreaied and correct comparison;
Find out conforming to partly in current scene image and the previous scenario image according to comparative result, the line position of going forward side by side alignment is proofreaied and correct;
Partly detect the movement of objects state at relatively conforming to.
4. driving vision as claimed in claim 1 blind area detecting system is characterized in that described auto meter dish also comprises automobile-used telltale, and the image capturing unit of this automobile-used telltale and vehicle rear-view mirror directly is connected.
5. driving vision as claimed in claim 4 blind area detecting system, it is characterized in that, when the Warning light on the auto meter dish lighted, described image capturing unit is directly switch into the scene image that is absorbed play the displayed scene image frame on the automobile-used telltale.
6. a driving vision blind area method for detecting comes the detecting vehicle traffic of vision blind area when driving by vehicle rear-view mirror and auto meter dish, it is characterized in that the method comprising the steps of:
Continue the dynamic scene image of the position, driving vision blind area at shooting vehicle both sides and rear by the image capturing unit that is installed on the vehicle rear-view mirror;
Detect differentiation according to object detecting method and mobile status dynamic detection method at the scene image that is absorbed;
Judge whether include the mobile object image in the scene image according to the image detecting result;
When including the mobile object image in the scene image, produce alarm signal;
Warning light flicker and the sound-producing device information of sounding according to alarm signal control auto meter dish remind steerman to be careful the traffic of driving vision blind area.
7. driving vision as claimed in claim 6 blind area method for detecting is characterized in that described object detecting method comprises human-like method for detecting and vehicle detection method.
8. driving vision as claimed in claim 6 blind area method for detecting is characterized in that described mobile status dynamic detection method comprises:
The eigenwert of each scene image of dynamically recording;
According to this eigenwert the front and back scene image is proofreaied and correct comparison;
Find out conforming to partly in current scene image and the previous scenario image according to comparative result, the line position of going forward side by side alignment is proofreaied and correct;
Partly detect the movement of objects state at relatively conforming to.
9. driving vision as claimed in claim 6 blind area method for detecting is characterized in that described auto meter dish also comprises automobile-used telltale, and the image capturing unit of this automobile-used telltale and vehicle rear-view mirror directly is connected.
10. driving vision as claimed in claim 9 blind area method for detecting, it is characterized in that, when the Warning light on the auto meter dish lighted, described image capturing unit is directly switch into the scene image that is absorbed play the displayed scene image frame on the automobile-used telltale.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010137727.6A CN102211547B (en) | 2010-04-01 | 2010-04-01 | Driving visual blind area detection system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010137727.6A CN102211547B (en) | 2010-04-01 | 2010-04-01 | Driving visual blind area detection system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102211547A true CN102211547A (en) | 2011-10-12 |
| CN102211547B CN102211547B (en) | 2014-12-17 |
Family
ID=44743149
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201010137727.6A Active CN102211547B (en) | 2010-04-01 | 2010-04-01 | Driving visual blind area detection system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102211547B (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103434447A (en) * | 2013-08-02 | 2013-12-11 | 浙江吉利汽车研究院有限公司 | Replacing device and method for inside rear-view mirror of vehicle |
| CN103448609A (en) * | 2012-05-31 | 2013-12-18 | 天翔系统整合股份有限公司 | Driving warning system |
| CN103802720A (en) * | 2014-02-18 | 2014-05-21 | 江苏新安电器有限公司 | Anti-collision device and method for electric vehicle |
| CN103832380A (en) * | 2012-11-23 | 2014-06-04 | 深圳华一汽车科技有限公司 | Dead zone automobile detection and warning system and method based on machine vision |
| CN104361648A (en) * | 2014-10-10 | 2015-02-18 | 江苏科技大学 | Event data recorder provided with signal lamps for reminding other vehicles and control method of event data recorder |
| CN104680618A (en) * | 2015-02-05 | 2015-06-03 | 江苏科技大学 | Vehicle travelling data recorder with function of warning other vehicles and control method of vehicle travelling data recorder |
| CN105209299A (en) * | 2013-07-30 | 2015-12-30 | 丰田自动车株式会社 | Driving assist device |
| CN105667440A (en) * | 2014-11-18 | 2016-06-15 | 鸿富锦精密工业（深圳）有限公司 | Automobile blind area monitoring and early-warning system and automobile |
| CN104553983B (en) * | 2013-10-24 | 2017-02-15 | 鸿富锦精密工业（深圳）有限公司 | Vehicle pre-warning system and vehicle pre-warning method |
| CN109109743A (en) * | 2018-07-17 | 2019-01-01 | 东风商用车有限公司 | Modular electronic external rearview mirror system and application method, commercial vehicle based on camera shooting |
| CN111968407A (en) * | 2020-08-26 | 2020-11-20 | 国网山西省电力公司大同供电公司 | Wireless communication method for underwater robot |
| CN109109743B (en) * | 2018-07-17 | 2024-05-31 | 东风商用车有限公司 | Modularized electronic outside rear-view mirror system based on camera shooting, use method and commercial vehicle |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003348569A (en) * | 2002-05-28 | 2003-12-05 | Toshiba Lighting & Technology Corp | Monitoring camera system |
| US20060167606A1 (en) * | 2005-01-27 | 2006-07-27 | Khaled Malhas | Electronically controlled mirror system for vehicle blind spot exposure |
| CN201009817Y (en) * | 2007-02-16 | 2008-01-23 | 张家荣 | Accessory system of blind spot image |
| CN101271518A (en) * | 2007-03-20 | 2008-09-24 | 国际商业机器公司 | System and method for managing the interaction of object detection and tracking systems in video surveillance |
| TWM353849U (en) * | 2008-09-17 | 2009-04-01 | Jyh-Chiang Liou | Integrated driving assistance apparatus |
-
2010
- 2010-04-01 CN CN201010137727.6A patent/CN102211547B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003348569A (en) * | 2002-05-28 | 2003-12-05 | Toshiba Lighting & Technology Corp | Monitoring camera system |
| US20060167606A1 (en) * | 2005-01-27 | 2006-07-27 | Khaled Malhas | Electronically controlled mirror system for vehicle blind spot exposure |
| CN201009817Y (en) * | 2007-02-16 | 2008-01-23 | 张家荣 | Accessory system of blind spot image |
| CN101271518A (en) * | 2007-03-20 | 2008-09-24 | 国际商业机器公司 | System and method for managing the interaction of object detection and tracking systems in video surveillance |
| TWM353849U (en) * | 2008-09-17 | 2009-04-01 | Jyh-Chiang Liou | Integrated driving assistance apparatus |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103448609A (en) * | 2012-05-31 | 2013-12-18 | 天翔系统整合股份有限公司 | Driving warning system |
| CN103832380A (en) * | 2012-11-23 | 2014-06-04 | 深圳华一汽车科技有限公司 | Dead zone automobile detection and warning system and method based on machine vision |
| CN105209299A (en) * | 2013-07-30 | 2015-12-30 | 丰田自动车株式会社 | Driving assist device |
| CN105209299B (en) * | 2013-07-30 | 2017-09-15 | 丰田自动车株式会社 | Drive assistance device |
| CN103434447A (en) * | 2013-08-02 | 2013-12-11 | 浙江吉利汽车研究院有限公司 | Replacing device and method for inside rear-view mirror of vehicle |
| CN104553983B (en) * | 2013-10-24 | 2017-02-15 | 鸿富锦精密工业（深圳）有限公司 | Vehicle pre-warning system and vehicle pre-warning method |
| CN103802720A (en) * | 2014-02-18 | 2014-05-21 | 江苏新安电器有限公司 | Anti-collision device and method for electric vehicle |
| CN103802720B (en) * | 2014-02-18 | 2016-09-21 | 江苏新安电器有限公司 | A kind of electric vehicle anti-collision method |
| CN104361648A (en) * | 2014-10-10 | 2015-02-18 | 江苏科技大学 | Event data recorder provided with signal lamps for reminding other vehicles and control method of event data recorder |
| CN105667440A (en) * | 2014-11-18 | 2016-06-15 | 鸿富锦精密工业（深圳）有限公司 | Automobile blind area monitoring and early-warning system and automobile |
| CN105667440B (en) * | 2014-11-18 | 2018-07-03 | 鸿富锦精密工业（深圳）有限公司 | Vehicle blind zone monitoring early-warning system and automobile |
| CN104680618A (en) * | 2015-02-05 | 2015-06-03 | 江苏科技大学 | Vehicle travelling data recorder with function of warning other vehicles and control method of vehicle travelling data recorder |
| CN109109743A (en) * | 2018-07-17 | 2019-01-01 | 东风商用车有限公司 | Modular electronic external rearview mirror system and application method, commercial vehicle based on camera shooting |
| CN109109743B (en) * | 2018-07-17 | 2024-05-31 | 东风商用车有限公司 | Modularized electronic outside rear-view mirror system based on camera shooting, use method and commercial vehicle |
| CN111968407A (en) * | 2020-08-26 | 2020-11-20 | 国网山西省电力公司大同供电公司 | Wireless communication method for underwater robot |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102211547B (en) | 2014-12-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102211547B (en) | Driving visual blind area detection system and method | |
| US8218007B2 (en) | Camera system for a vehicle and method for controlling a camera system | |
| JP4720386B2 (en) | Driving assistance device | |
| US9576208B2 (en) | Emergency vehicle detection with digital image sensor | |
| JP2008193339A (en) | Rear monitoring system | |
| US20200412944A1 (en) | Driver recorder, display control method and program | |
| KR101842815B1 (en) | Method for operating a rearview camera system of a motor vehicle after detection of a headlight flasher, rearview camera system and motor vehicle | |
| CN104175954A (en) | Vehicle blind area monitoring and alarming system | |
| JP2000339589A (en) | Traffic safety auxiliary system for vehicle and recording medium | |
| JP2010064750A (en) | Driving assist device | |
| JP4600999B2 (en) | Vehicle perimeter monitoring device | |
| JP4927933B2 (en) | Driving assistance device | |
| JP2010076765A (en) | Travel recorder | |
| JP2009169991A (en) | Vehicle drive assist device | |
| TWI478832B (en) | System and method for detecting unsighted location during driving a vehicle | |
| JP4927904B2 (en) | Vehicle driving support device | |
| JP3033390B2 (en) | Vehicle image display device | |
| CN216184804U (en) | Driving assistance system and vehicle | |
| JP2010143577A (en) | Drive assisting device | |
| JP3159466U (en) | Wisdom type alarm system combining bird's-eye view and back radar | |
| JP4825298B2 (en) | Driving assistance device | |
| US20200108721A1 (en) | Hud park assist | |
| JP2011182254A (en) | Driving support device for vehicle | |
| JP5270527B2 (en) | Driving assistance device | |
| CN214929320U (en) | Strengthen streaming media rear-view mirror of ADAS system function |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| ASS | Succession or assignment of patent right |
Owner name: SHENZHEN QICHUANGMEI TECHNOLOGY CO., LTD. Free format text: FORMER OWNER: HONGFUJIN PRECISE INDUSTRY (SHENZHEN) CO., LTD. Effective date: 20141114 Owner name: FUXIN POWER SUPPLY COMPANY, STATE GRID LIAONING EL Free format text: FORMER OWNER: HONGFUJIN PRECISE INDUSTRY CO., LTD. Effective date: 20141114 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 518109 SHENZHEN, GUANGDONG PROVINCE TO: 518000 SHENZHEN, GUANGDONG PROVINCE |
|
| TA01 | Transfer of patent application right |
Effective date of registration: 20141114 Address after: Futian District King Road Shenzhen city Guangdong province 518000 No. 108 Tze Wei court 1218 Applicant after: Shenzhen Qichuangmei Technology Co., Ltd. Applicant after: FUXIN POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY CO., LTD. Address before: 518109 Guangdong city of Shenzhen province Baoan District Longhua Town Industrial Zone tabulaeformis tenth East Ring Road No. 2 two Applicant before: Hongfujin Precise Industry (Shenzhen) Co., Ltd. Applicant before: Hon Hai Precision Industry Co., Ltd. |
|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| ASS | Succession or assignment of patent right |
Owner name: FENG LIN Free format text: FORMER OWNER: SHENZHEN QICHUANGMEI TECHNOLOGY CO., LTD. Effective date: 20150515 Free format text: FORMER OWNER: FUXIN POWER SUPPLY COMPANY, STATE GRID LIAONING ELECTRIC POWER CO., LTD. Effective date: 20150515 |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 518000 SHENZHEN, GUANGDONG PROVINCE TO: 518057 SHENZHEN, GUANGDONG PROVINCE |
|
| TR01 | Transfer of patent right |
Effective date of registration: 20150515 Address after: 518057 Guangdong, Futian District Binhe Road, Binjiang village, East District, building 8,, 502 Patentee after: Feng Lin Address before: Futian District King Road Shenzhen city Guangdong province 518000 No. 108 Tze Wei court 1218 Patentee before: Shenzhen Qichuangmei Technology Co., Ltd. Patentee before: FUXIN POWER SUPPLY COMPANY OF STATE GRID LIAONING ELECTRIC POWER SUPPLY CO., LTD. |
|
| C41 | Transfer of patent application or patent right or utility model | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20151116 Address after: 226299 Jiangsu city of Nantong province Qidong huilongzhen new Hung Road No. 99 Patentee after: QIDONG HUITONG PLATING CO., LTD. Address before: 518057 Guangdong, Futian District Binhe Road, Binjiang village, East District, building 8,, 502 Patentee before: Feng Lin |